Evidence map›Paper›PMID 37213962›Full record

ArticleCureus2023

Diagnostic and Prognostic Value of Laboratory Risk Indicator for Necrotizing Fasciitis Score.

Nimil Mary Thomas, Minaxi Sharma, Mukta Sukhadia, Ardra Merin George

Abstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

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7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Nimil Mary ThomasGeneral Surgery, Rabindranath Tagore (RNT) Medical College, Udaipur, IND.
Minaxi SharmaGeneral Surgery, Rabindranath Tagore (RNT) Medical College, Udaipur, IND.
Mukta SukhadiaSurgery, Rabindranath Tagore (RNT) Medical College, Udaipur, IND.
Ardra Merin GeorgePreventive Medicine, Government Medical College & Hospital, Kozhikode, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNecrotizing fasciitis (NF) is a lethal soft tissue infection involving skin and subcutaneous tissue with significant morbidity and mortality.

aimTo validate the diagnostic and prognostic role of the Laboratory Risk Indicator for Necrotizing Fasciitis (LRINEC) scoring system for NF in patients who present with soft tissue infections.

methodsThe study was conducted on 100 patients who presented with soft tissue infections. Based on the histopathological findings, they were divided into NF and non-necrotizing soft tissue infection groups. Patients were clinically assessed. The lab parameters were assessed and the LRINEC score was calculated. Patients were stratified based on score and grouped into low, intermediate, and high risk. For patients who went into sepsis, the death rate and length of hospital stay, including ICU, were noted based on the scoring system.

resultsIn our study, the diagnostic role of LRINEC score ≥ 6 had a sensitivity of 85.7% and specificity of 62.7%, and score ≥ 8 had a sensitivity of 67.3% and specificity of 82.3% with a positive predictive value (PPV) of 78.5 and negative predictive value (NPV) of 72.4, of which 8 is a better cut-off as a diagnostic criterion. The area under the curve was found to be 0.835. To predict the prognostic role, a cut-off value was calculated from the receiver operating characteristic curves of both mortality and sepsis patients in relation to the LRINEC score of 9. With the LRINEC score cut-off as 9, with mortality and sepsis as variables, the sensitivity was 50% and 53.3%, specificity was 94.2% and 91.4%, PPV was 78.9% and 72.7%, and NPV was 81.4% and 82%, respectively.

conclusionThe LRINEC score is quick, safe, reproducible, noninvasive, cost-effective, and easily calculated, and has high sensitivity and specificity to predict early diagnosis, and it could be used for risk stratification and prognosis of necrotizing soft tissue infections.

Indexed as

lrinecmortalitynecrotizing fasciitissepsissoft tissue infection

Identifiers

PMID37213962
PMCPMC10194427

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.